Building AI Agents with Slack Knowledge Sources

If you've ever found yourself thinking,

I've answered this question before on Slack, several times. Why don't people search for it before asking?

You're not alone. Searching through Slack conversations can be a tedious and often frustrating task.

But there's good news! You can train GPT using your Slack conversation history and allow it to answer on your behalf. And the best part? You don't need any engineering skills—just 10 minutes of your time.

Benefits

Using this method comes with several advantages:

1. Faster Answers: Team members can get the answers they need more quickly.
2. Time-Saving: You can save your own time by not having to repeat yourself.
3. Hassle-Free Setup: There’s no complicated setup involved. Just a few clicks, and you're good to go.

Solution: A Step-by-Step Guide

Here's how you can set this up quickly and efficiently:

1. Sign Up for Runbear: Start by signing up for Runbear and visiting the “Assistants” page.
2. Create an Assistant: Initiate an assistant with simple instructions like this: “Answer the question using the file search. If you cannot find an answer, say, ‘Sorry, I couldn’t find an answer from the given knowledge sources.’”
3. Select Slack Channels: Choose the Slack channels you want to use as knowledge sources. These should be the channels where questions are frequently asked.
4. Connect the AI Agent: Lastly, connect this AI agent to your Slack workspace! This can be done instantly using Runbear.

Simple, right? You can complete all these steps in just 10 minutes. Say goodbye to repetitive answers and hello to an efficient workflow!

Try it now! Don't hesitate to contact us if you need any help.